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descriptive-exploration-translation-test-dataset's Introduction

Translation Test Dataset

Question 1

Write a funtion to convert given CSV files to Dataframes

  • Define function with name csv_to_dataframe which should accept filepath as a parameter.
  • Function should return a dataframe.
  • As we require a dataframe, type of return variable should be pandas dataframe.
  • In case if we pass filepath which does not exist, function should raise FileNotFoundError.

Question 2

Write a function to merge two dataframes on given column name

  • Define function with name merge_dataframe which should accept dataframe1, dataframe2(dataframes to be merged), column_name(as string) as a parameter.
  • Function should return a dataframe.
  • As we require a dataframe, type of return variable should be pandas dataframe.
  • In case if we pass column_name which does not exist, function should raise KeyError.

Question 3

Write a function to convert datatype of given variables to "category"

  • Define function with name dtype_category which should accept dataframe and list of columns as parameters.
  • Function should return a dataframe with type of given columns changed to "category".
  • As we require a dataframe, type of return variable should be pandas dataframe.
  • In case if we pass column name which does not exist, function should raise KeyError

Question 4

Write a function to count number of "categorical variables"

  • Define function with name categorical_variable_count which should accept dataframe as parameter.
  • Function should return count of categorical variables.
  • As we require count, type of return variable should be integer.
  • In case if we pass dataframe which does not exist, function should raise NameError

Question 5

Write a function to check variance of numeric columns of a dataframe, and if variance is lower than given threshold, drop the column

  • Define function with name var_check which should accept dataframe, threshold (int) as parameter.
  • Function should drop the the rejected columns and return a list of dropped variables.
  • As we require list, type of return variable should be list.

Question 6

Write a function to plot boxplots for all numeric variables

  • Define function with name boxplot which should accept dataframe, column_list (of variables to be plotted) as parameters.
  • Function should return boxplots of numeric variables.
  • As we require plot, type of return variable should be matplotlib object.
  • In case if we pass column name which does not exist, function should raise KeyError

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